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EAIM MCP Server

@OmarNaguib

代码仓库

基本信息

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开发工具

传输方式

stdio

作者

OmarNaguib

关于 EAIM MCP Server

MCP server for EAIM Technologies API integration with FastAPI and Socket.IO

EAIM MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "eaim-mcp-server": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

EAIM MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is EAIM MCP Server?

A Model Context Protocol (MCP) server that integrates with the EAIM Technologies API to provide tools and resources for querying social media analytics data through natural language processing. It uses Socket.IO for real‑time communication and is intended for developers who need programmatic access to EAIM’s analytics dashboards and visualizations.

How to use EAIM MCP Server?

Install dependencies with pip install -r requirements.txt, then run python main.py to start the server on http://localhost:8000. Alternatively, build and run the Docker image with docker build -t eaim-mcp-server . and docker run -p 8000:8000 eaim-mcp-server. The server exposes a Socket.IO endpoint at /socket.io and an MCP endpoint at /mcp.

Key features of EAIM MCP Server

  • Socket.IO integration for real‑time communication
  • Natural language query processing against EAIM API
  • MCP tools for retrieving dashboard and visualization data
  • Dashboard and visualization metadata resources
  • REST‑style endpoints for server status and MCP interactions

Use cases of EAIM MCP Server

  • Query social media engagement metrics using natural language (e.g., “Show me the engagement of Vodafone EG over the last month”)
  • Retrieve data for a specific visualization from an EAIM dashboard
  • List available dashboards and their visualizations via MCP resources
  • Build real‑time analytics dashboards by listening to Socket.IO events
  • Automate reporting workflows by integrating the MCP tools into LLM clients

常见问题

1

What are the prerequisites for running the server?

Python 3.8 or higher and `pip` are required. Dependencies are installed via `pip install -r requirements.txt`.

2

How can I run the server with Docker?

Build the image with `docker build -t eaim-mcp-server .` and run the container with `docker run -p 8000:8000 eaim-mcp-server`.

3

Which Socket.IO events are available?

Clients can emit a `query_data` event with a natural language query. The server emits `status`, `data`, and `error` events in response.

4

What MCP tools does the server provide?

Two tools: `get_visualization_data` (requires dashboard_id, visualization_id, brand, period) and `query_natural_language` (requires a query string). Both are accessible via the `/mcp` endpoint.

5

What MCP resources are available?

The `available_dashboards` resource lists all dashboards, and `available_visualizations` (requires dashboard_id) lists visualizations for a specific dashboard.

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